Data Science Platform Market - Forecasts from 2018 to 2023

Data Science Platform Market - Forecasts from 2018 to 2023

The data science platform market was valued at US$XX.XX billion in 2017 and is expected to grow at a CAGR of XX.XX% over the forecast period to reach a total market size of US$XX.XX billion by 2023. Continuous growth of businesses across industries is steering them away from legacy data science processes which use disjointed tools to support the workflow of various departments. Huge costs and complexity of processes associated with the use of such tools are some of the key factors powering this drift. Ease of pooling resources from a centralized place and quicker deployment of analytics models facilitated by data science platforms are further moving the enterprises towards them, thus boosting the growth of the market. The growth of the market is expected to remain solid as businesses continue to adopt data intensive business strategies. As these platforms continue to become advanced, enterprises can expect higher returns on their investment in end-to-end data science platform implementation. This will drive the market growth over the projected period.

This research study examines the current market trends related to the demand, supply, and sales, in addition to the recent developments. Major drivers, restraints, and opportunities have been covered to provide an exhaustive picture of the market. The analysis presents in-depth information regarding the development, trends, and industry policies and regulations implemented in each of the geographical regions. Further, the overall regulatory framework of the market has been exhaustively covered to offer stakeholders a better understanding of the key factors affecting the overall market environment.

Identification of key industry players in the industry and their revenue contribution to the overall business or relevant segment aligned to the study has been covered as a part of competitive intelligence done through extensive secondary research. Various studies and data published by industry associations, analyst reports, investor presentations, press releases and journals among others have been taken into consideration while conducting the secondary research. Both bottom-up and top down approaches have been utilized to determine the market size of the overall market and key segments. The values obtained are correlated with the primary inputs of the key stakeholders in the data science platform value chain. Last step involves complete market engineering which includes analysing the data from different sources and existing proprietary datasets while using various data triangulation methods for market breakdown and forecasting.

Market intelligence is presented in the form of analysis, charts, and graphics to help the clients in gaining faster and efficient understanding of the data science platform market.

Major industry players profiled as part of the report are Microsoft, IBM, Google, Wolfram, Datarobot, Inc., Cloudera, Inc., RapidMiner, Inc., Domino Data Lab, Inc., Dataiku, Alteryx and Continuum Analytics.

Segmentation

The data science platform market is segmented by type, end-user industry and geography.

By Type

Open Data Science Platform

Closed Data Science Platform

 

By End-User Industry

BFSI

Communication and Technology

Retail

Media and Entertainment

Manufacturing

Others

 

By Geography

North America

United States

Canada

Mexico

Others

 

South America

Brazil

Argentina

Others

 

Europe

UK

Germany

France

Italy

Others

 

Middle East and Africa

Saudi Arabia

UAE

Israel

Others

 

Asia Pacific

Japan

China

India

Australia

Others

 

Key Questions answered by the report

What is the data science platform market size from 2018 to 2023?

How are the major drivers and restraints affecting the data science platform market and the opportunities which exist for the key vendors?

Which segment and region will drive or lead the market growth and why?

A comprehensive analysis of competitive landscape and key market participants behaviour

Key strategies being adopted by vendors, with in-depth analysis of their impact on competition and market growth.

1. Introduction
2. Research Methodology  
2.1. Research Process And Design
2.2. Research Assumptions
3. Executive Summary
4. Market Dynamics
4.1. Market Segmentation
4.2. Market Drivers
4.3. Market Restraints
4.4. Market Opportunities
4.5. Porter’s Five Force Analysis
4.5.1. Bargaining Power Of Suppliers
4.5.2. Bargaining Power Of Buyers
4.5.3. Threat Of New Entrants
4.5.4. Threat Of Substitutes
4.5.5. Competitive Rivalry In The Industry
4.6. Life Cycle Analysis- Regional Snapshot
4.7. Market Attractiveness
5. Data Science Platform Market by Type
5.1. Open Data Science Platform
5.2. Closed Data Science Platform
6. Data Science Platform Market by End-User Industry
6.1. BFSI 
6.2. Communication and Technology 
6.3. Retail 
6.4. Media and Entertainment 
6.5. Manufacturing 
6.6. Others
7. Data Science Platform Market by Geography
7.1. North America
7.1.1. United States
7.1.2. Canada
7.1.3. Mexico
7.1.4. Others
7.2. South America
7.2.1. Brazil
7.2.2. Argentina
7.2.3. Others
7.3. Europe
7.3.1. UK
7.3.2. Germany
7.3.3. France
7.3.4. Italy
7.3.5. Others
7.4. Middle East and Africa
7.4.1. Saudi Arabia
7.4.2. UAE
7.4.3. Israel
7.4.4. Others
7.5. Asia Pacific
7.5.1. Japan
7.5.2. China
7.5.3. India
7.5.4. Australia
7.5.5. Others
8. Competitive Intelligence
8.1. Investment Analysis
8.2. Recent Deals
8.3. Strategies of Key Players
9. Company Profiles
9.1. Microsoft
9.2. IBM
9.3. Google
9.4. Wolfram
9.5. Datarobot, Inc.
9.6. Cloudera, Inc.
9.7. RapidMiner, Inc.
9.8. Domino Data Lab, Inc.
9.9. Dataiku
9.10. Alteryx
9.11. Continuum Analytics
List of Figures
List of Tables
Disclaimer

Microsoft

IBM

Google

Wolfram

Datarobot, Inc.

Cloudera, Inc.

RapidMiner, Inc.

Domino Data Lab, Inc.

Dataiku

Alteryx

Continuum Analytics

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  • Publishing Date: 2019-01-04
  • Product Code: 1
  • Availability: In Stock
  • $3,950.00
  • Ex Tax: $3,950.00

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